Type of Document Master's Thesis Author Venkataraman, Aravind Author's Email Address aravindv85@gmail.com URN etd-11202008-154918 Title 802.11 Fingerprinting to detect wireless stealth attacks Degree Master of Science Department Computer Science Advisory Committee
Advisor Name Title Raheem A Beyah Committee Chair Anu Bourgeois Committee Member Xiaojun Cao Committee Member Keywords
- 802.11 MAC protocol
- Distributed coordination function
- Rogue access points
- MAC misbehavior
- Covert channel.
Date of Defense 2008-11-20 Availability unrestricted Abstract We propose a simple, passive and deployable approach for fingerprinting traffic on the wired side as a solution for three critical stealth attacks in wireless networks. We focus on extracting traces of the 802.11 medium access control (MAC) protocol from the temporal arrival patterns of incoming traffic streams as seen on the wired side, to identify attacker behavior. Attacks addressed include unauthorized access points, selfish behavior at the MAC layer and MAC layer covert timing channels. We employ the Bayesian binning technique as a means of classifying between delay distributions. The scheme requires no change to the 802.11 nodes or protocol, exhibits minimal computational overhead and offers a single point of discovery. We evaluate our model using experiments and simulations.Files
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